Lead the architecture and design of scalable AI infrastructure, setting technical direction for complex, large-scale systems. Define and drive end-to-end architecture for Agent Security, Policy, and Tool Governance, solving complex and ambiguous engineering problems across organizational boundaries. Establish technical strategy and engineering frameworks for experimentation and evaluation. Define success criteria and lead analysis of experimentation scorecards, translating results into engineering priorities and product improvements. Partner closely with Product Managers and engineering leaders to define scenarios, datasets, evaluation methodologies, and measurable success criteria. Lead data acquisition and evaluation-data strategy, establishing standards for data quality, formatting, accuracy, governance, and reuse. Provide technical leadership across teams, driving architectural alignment, influencing engineering investments, and raising engineering quality. Identify systemic technical risks and opportunities and drive solutions that improve scalability, reliability, security, and long-term maintainability. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.